A Personalized BEST: Characterization of Latent Clinical Classes of Nonischemic Heart Failure That Predict Outcomes and Response to Bucindolol

BACKGROUND: Heart failure patients with reduced ejection fraction (HFREF) are heterogenous, and our ability to identify patients likely to respond to therapy is limited. We present a method of identifying disease subtypes using high-dimensional clinical phenotyping and latent class analysis that may...

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Detaylı Bibliyografya
Asıl Yazarlar: Kao, David P., Wagner, Brandie D., Robertson, Alastair D., Bristow, Michael R., Lowes, Brian D.
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Public Library of Science 2012
Konular:
Research Article
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC3492337/
https://ncbi.nlm.nih.gov/pubmed/23144856
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0048184
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